Predicted versus CT-derived total lung volume in a general population: The ImaLife study

Hendrik J Wisselink; Danielle J D Steerenberg; Mieneke Rook; Gert-Jan Pelgrim; Marjolein A Heuvelmans; Maarten van den Berge; Geertruida H de Bock; Rozemarijn Vliegenthart

doi:10.1371/journal.pone.0287383

Predicted versus CT-derived total lung volume in a general population: The ImaLife study

PLoS One. 2023 Jun 16;18(6):e0287383. doi: 10.1371/journal.pone.0287383. eCollection 2023.

Authors

Hendrik J Wisselink¹, Danielle J D Steerenberg¹, Mieneke Rook^{1

2}, Gert-Jan Pelgrim¹, Marjolein A Heuvelmans^{3

4}, Maarten van den Berge⁵, Geertruida H de Bock⁴, Rozemarijn Vliegenthart^{1

6}

Affiliations

¹ Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
² Department of Radiology, Martini Hospital, Groningen, The Netherlands.
³ Department of Pulmonology, Medisch Spectrum Twente, Enschede, The Netherlands.
⁴ Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
⁵ Department of Pulmonology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
⁶ DataScience in Health, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.

Abstract

Predicted lung volumes based on the Global Lung Function Initiative (GLI) model are used in pulmonary disease detection and monitoring. It is unknown how well the predicted lung volume corresponds with computed tomography (CT) derived total lung volume (TLV). The aim of this study was to compare the GLI-2021 model predictions of total lung capacity (TLC) with CT-derived TLV. 151 female and 139 male healthy participants (age 45-65 years) were consecutively selected from a Dutch general population cohort, the Imaging in Lifelines (ImaLife) cohort. In ImaLife, all participants underwent low-dose, inspiratory chest CT. TLV was measured by an automated analysis, and compared to predicted TLC based on the GLI-2021 model. Bland-Altman analysis was performed for analysis of systematic bias and range between limits of agreement. To further mimic the GLI-cohort all analyses were repeated in a subset of never-smokers (51% of the cohort). Mean±SD of TLV was 4.7±0.9 L in women and 6.2±1.2 L in men. TLC overestimated TLV, with systematic bias of 1.0 L in women and 1.6 L in men. Range between limits of agreement was 3.2 L for women and 4.2 L for men, indicating high variability. Performing the analysis with never-smokers yielded similar results. In conclusion, in a healthy cohort, predicted TLC substantially overestimates CT-derived TLV, with low precision and accuracy. In a clinical context where an accurate or precise lung volume is required, measurement of lung volume should be considered.

Copyright: © 2023 Wisselink et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Aged
Female
Humans
Lung Diseases*
Lung Volume Measurements
Lung* / diagnostic imaging
Male
Middle Aged
Tomography, X-Ray Computed / methods
Total Lung Capacity

Grants and funding

The position of HJW is supported by KNAW grant PSA-SA-BD-01. The current substudy is part of ImaLife. The ImaLife project is funded by an institutional research grant from Siemens Healthineers and by the Ministry of Economic Affairs and Climate (Netherlands) Policy by means of the PPP Allowance made available by the Top Sector Life Sciences & Health to stimulate public-private partnerships. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.